IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v40y2025i4d10.1007_s00180-025-01600-x.html
   My bibliography  Save this article

The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship

Author

Listed:
  • Johan Lyhagen

    (Uppsala University)

Abstract

It is well known that there is an home advantage in football (American English: soccer) where the home team wins in about 45% of the games compared to the 27% of the away team. This has mainly been attributed to the support of the home audience and is commonly denoted the crowd support effect. The COVID-19 pandemic forced many football leagues to play the games without spectators thus making it possible to analyse the effect of crowd support in football. We analyse more than 18,000 games in the two top English football leagues during the period 2001–2020 for the Premier league and the Championship with an ordinal logistic model with explanatory variables (e.g., previous team performance, a time trend, league dummy) including a pandemic dummy. We discovered that the absence of spectators has no impact on the outcome probability in the Premier League. However, it significantly reduces the probability of the home team wins in the Championship.

Suggested Citation

  • Johan Lyhagen, 2025. "The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship," Computational Statistics, Springer, vol. 40(4), pages 1919-1932, April.
  • Handle: RePEc:spr:compst:v:40:y:2025:i:4:d:10.1007_s00180-025-01600-x
    DOI: 10.1007/s00180-025-01600-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00180-025-01600-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00180-025-01600-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:40:y:2025:i:4:d:10.1007_s00180-025-01600-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.